Whale Watcher

Inspiration

Build market forecasting tools for algorithmic trading

What it does

Monitor wallet activity and notifies the user based on parametrized thresholds.

Example: Notify user only if wallet moves 100 BTC or more.

How we built it

A web scraping tool that aggregates data and determines deviations from "normal" behavior of target (Whale) wallets.

Challenges we ran into

• Tracing transactions across the blockchain
• Errors in source data from websites we scraped (instances of 0.0 transfer of BTC into wallet address)

Accomplishments that we're proud of

• Successful testing of Slack integration notifying user whenever activity for target wallet is found.

What we learned

• html is highly flexible making it difficult to parse for general information scraping
• Non-trivial to map inputs and outputs of transactions to sending and receiving addresses

What's next for Whale Watcher

Building other parameters or thresholds for user notification

1. Transaction Frequency (Increase/decrease in transactions per hour)
2. Degrees of separation (6 addresses removed from exchange or mining pool)

Built With

• python
• ruby
• slack